Multi-depth temperature prediction using machine learning for pavement sections
Yunyan Huang,
Mohamad Molavi Nojumi,
Shadi Ansari
et al.
Abstract:The temperature of hot mix asphalt (HMA), base, and subgrade layers plays a significant role in pavement performance, because temperature influences the strength of the materials. Therefore, a model to predict temperature throughout the entire pavement structure is desirable. However, most existing models only focus on predicting the temperature of the road surface or the HMA layer, and these models usually need some information related to boundary conditions or material properties that is difficult to obtain.… Show more
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